POINT CLOUD BASED 3D MODELS FOR AGENT BASED SIMULATIONS IN SOCIAL DISTANCING AND EVACUATION
<p>Point clouds serve as the raw material for various models, such as Building Information Models (BIM). In this work, we investigate the reconstruction steps needed to create models that can be utilized directly for agent-based simulations. The input data for the reconstruction is captured wi...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2021-06-01
|
Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-4-2021/113/2021/isprs-annals-V-4-2021-113-2021.pdf |
id |
doaj-844d1640ff634669b268bec5788472de |
---|---|
record_format |
Article |
spelling |
doaj-844d1640ff634669b268bec5788472de2021-06-17T21:58:07ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502021-06-01V-4-202111312010.5194/isprs-annals-V-4-2021-113-2021POINT CLOUD BASED 3D MODELS FOR AGENT BASED SIMULATIONS IN SOCIAL DISTANCING AND EVACUATIONS. Nikoohemat0P. Godoy1N. Valkhoff2M. Wouters - van Leeuwen3R. Voûte4V. V. Lehtola5Dept. of Earth Observation Science, Faculty ITC, University of Twente, Enschede, The NetherlandsINCONTROL Simulation Software BV, The NetherlandsINCONTROL Simulation Software BV, The NetherlandsINCONTROL Simulation Software BV, The NetherlandsCGI Nederland BV, The NetherlandsDept. of Earth Observation Science, Faculty ITC, University of Twente, Enschede, The Netherlands<p>Point clouds serve as the raw material for various models, such as Building Information Models (BIM). In this work, we investigate the reconstruction steps needed to create models that can be utilized directly for agent-based simulations. The input data for the reconstruction is captured with an indoor mobile mapping system. To show the prominence of this idea, we run social distancing and evacuation simulations on the reconstructed models. The simulations are run with multiple agents using a vision-based pedestrian model and A*-based path finding algorithm. The limitations of this approach are discussed. The video of the simulation is shared with the audience.</p><p>Link to the video: <a target="_blank" href="https://youtu.be/r2D3IxXt7Ls">https://youtu.be/r2D3IxXt7Ls</a></p>https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-4-2021/113/2021/isprs-annals-V-4-2021-113-2021.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
S. Nikoohemat P. Godoy N. Valkhoff M. Wouters - van Leeuwen R. Voûte V. V. Lehtola |
spellingShingle |
S. Nikoohemat P. Godoy N. Valkhoff M. Wouters - van Leeuwen R. Voûte V. V. Lehtola POINT CLOUD BASED 3D MODELS FOR AGENT BASED SIMULATIONS IN SOCIAL DISTANCING AND EVACUATION ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
author_facet |
S. Nikoohemat P. Godoy N. Valkhoff M. Wouters - van Leeuwen R. Voûte V. V. Lehtola |
author_sort |
S. Nikoohemat |
title |
POINT CLOUD BASED 3D MODELS FOR AGENT BASED SIMULATIONS IN SOCIAL DISTANCING AND EVACUATION |
title_short |
POINT CLOUD BASED 3D MODELS FOR AGENT BASED SIMULATIONS IN SOCIAL DISTANCING AND EVACUATION |
title_full |
POINT CLOUD BASED 3D MODELS FOR AGENT BASED SIMULATIONS IN SOCIAL DISTANCING AND EVACUATION |
title_fullStr |
POINT CLOUD BASED 3D MODELS FOR AGENT BASED SIMULATIONS IN SOCIAL DISTANCING AND EVACUATION |
title_full_unstemmed |
POINT CLOUD BASED 3D MODELS FOR AGENT BASED SIMULATIONS IN SOCIAL DISTANCING AND EVACUATION |
title_sort |
point cloud based 3d models for agent based simulations in social distancing and evacuation |
publisher |
Copernicus Publications |
series |
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
issn |
2194-9042 2194-9050 |
publishDate |
2021-06-01 |
description |
<p>Point clouds serve as the raw material for various models, such as Building Information Models (BIM). In this work, we investigate the reconstruction steps needed to create models that can be utilized directly for agent-based simulations. The input data for the reconstruction is captured with an indoor mobile mapping system. To show the prominence of this idea, we run social distancing and evacuation simulations on the reconstructed models. The simulations are run with multiple agents using a vision-based pedestrian model and A*-based path finding algorithm. The limitations of this approach are discussed. The video of the simulation is shared with the audience.</p><p>Link to the video: <a target="_blank" href="https://youtu.be/r2D3IxXt7Ls">https://youtu.be/r2D3IxXt7Ls</a></p> |
url |
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-4-2021/113/2021/isprs-annals-V-4-2021-113-2021.pdf |
work_keys_str_mv |
AT snikoohemat pointcloudbased3dmodelsforagentbasedsimulationsinsocialdistancingandevacuation AT pgodoy pointcloudbased3dmodelsforagentbasedsimulationsinsocialdistancingandevacuation AT nvalkhoff pointcloudbased3dmodelsforagentbasedsimulationsinsocialdistancingandevacuation AT mwoutersvanleeuwen pointcloudbased3dmodelsforagentbasedsimulationsinsocialdistancingandevacuation AT rvoute pointcloudbased3dmodelsforagentbasedsimulationsinsocialdistancingandevacuation AT vvlehtola pointcloudbased3dmodelsforagentbasedsimulationsinsocialdistancingandevacuation |
_version_ |
1721373631480594432 |